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   <div id="projectname">Parallel Gaussian Process Regression
   &#160;<span id="projectnumber">1.0.0</span>
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   <div id="projectbrief">The implementation of parallel Gaussian process (GP) regression is based on the following publication: Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan &amp; Patrick Jaillet. Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations. In Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI 2013), Bellevue, WA, Jul 11-15, 2013.</div>
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  <div class="summary">
<a href="#pub-attribs">Public Attributes</a> &#124;
<a href="structt__command__prep-members.html">List of all members</a>  </div>
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<div class="title">t_command_prep Struct Reference</div>  </div>
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<p>Information parsed from commandline of application that prepares the experimental data.  
 <a href="structt__command__prep.html#details">More...</a></p>

<p><code>#include &lt;<a class="el" href="pgpr__parse_8h_source.html">pgpr_parse.h</a>&gt;</code></p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-attribs"></a>
Public Attributes</h2></td></tr>
<tr class="memitem:a157a7013d31723e9e83ee5edd790a9c2"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a157a7013d31723e9e83ee5edd790a9c2"></a>
Int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structt__command__prep.html#a157a7013d31723e9e83ee5edd790a9c2">mode</a></td></tr>
<tr class="memdesc:a157a7013d31723e9e83ee5edd790a9c2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Running mode of program. <br /></td></tr>
<tr class="separator:a157a7013d31723e9e83ee5edd790a9c2"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5ea7d62fa1431439c77ff1be76a2803b"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a5ea7d62fa1431439c77ff1be76a2803b"></a>
Int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structt__command__prep.html#a5ea7d62fa1431439c77ff1be76a2803b">seed</a></td></tr>
<tr class="memdesc:a5ea7d62fa1431439c77ff1be76a2803b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Random seed. <br /></td></tr>
<tr class="separator:a5ea7d62fa1431439c77ff1be76a2803b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae291868f188ef559477de77a0c09b779"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="ae291868f188ef559477de77a0c09b779"></a>
Int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structt__command__prep.html#ae291868f188ef559477de77a0c09b779">mach_num</a></td></tr>
<tr class="memdesc:ae291868f188ef559477de77a0c09b779"><td class="mdescLeft">&#160;</td><td class="mdescRight">No. of blocks/machines. <br /></td></tr>
<tr class="separator:ae291868f188ef559477de77a0c09b779"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a854d30f09e6966153b6aad01be20ba75"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a854d30f09e6966153b6aad01be20ba75"></a>
Int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structt__command__prep.html#a854d30f09e6966153b6aad01be20ba75">blk_size</a></td></tr>
<tr class="memdesc:a854d30f09e6966153b6aad01be20ba75"><td class="mdescLeft">&#160;</td><td class="mdescRight">Data size in each block/machine. <br /></td></tr>
<tr class="separator:a854d30f09e6966153b6aad01be20ba75"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7c6fcd0ab10f8fb7d1f37209ff4754b3"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a7c6fcd0ab10f8fb7d1f37209ff4754b3"></a>
Char&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structt__command__prep.html#a7c6fcd0ab10f8fb7d1f37209ff4754b3">trainf</a> [NAMELEN]</td></tr>
<tr class="memdesc:a7c6fcd0ab10f8fb7d1f37209ff4754b3"><td class="mdescLeft">&#160;</td><td class="mdescRight">File containing the training data. <br /></td></tr>
<tr class="separator:a7c6fcd0ab10f8fb7d1f37209ff4754b3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4b948a1a01c4434772d8b34f91023a3b"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a4b948a1a01c4434772d8b34f91023a3b"></a>
Int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structt__command__prep.html#a4b948a1a01c4434772d8b34f91023a3b">percent</a></td></tr>
<tr class="memdesc:a4b948a1a01c4434772d8b34f91023a3b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Percentage of domain inputs used for testing. <br /></td></tr>
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Char&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structt__command__prep.html#af2e121153fa801d803b0df9b6a4e6180">testf</a> [NAMELEN]</td></tr>
<tr class="memdesc:af2e121153fa801d803b0df9b6a4e6180"><td class="mdescLeft">&#160;</td><td class="mdescRight">File containing the test set. <br /></td></tr>
<tr class="separator:af2e121153fa801d803b0df9b6a4e6180"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:adacbfccb9bc1373a0383aeb7e392f303"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="adacbfccb9bc1373a0383aeb7e392f303"></a>
Char&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structt__command__prep.html#adacbfccb9bc1373a0383aeb7e392f303">hyperf</a> [NAMELEN]</td></tr>
<tr class="memdesc:adacbfccb9bc1373a0383aeb7e392f303"><td class="mdescLeft">&#160;</td><td class="mdescRight">File containing the hyperparameters. <br /></td></tr>
<tr class="separator:adacbfccb9bc1373a0383aeb7e392f303"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac4a2e1b1ae951cef4e6a1b75e5e5556d"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="ac4a2e1b1ae951cef4e6a1b75e5e5556d"></a>
Int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structt__command__prep.html#ac4a2e1b1ae951cef4e6a1b75e5e5556d">support</a></td></tr>
<tr class="memdesc:ac4a2e1b1ae951cef4e6a1b75e5e5556d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Size of support set. <br /></td></tr>
<tr class="separator:ac4a2e1b1ae951cef4e6a1b75e5e5556d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a19ce353138f10d386cbd54bb9f4edb02"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a19ce353138f10d386cbd54bb9f4edb02"></a>
Char&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structt__command__prep.html#a19ce353138f10d386cbd54bb9f4edb02">supportf</a> [NAMELEN]</td></tr>
<tr class="memdesc:a19ce353138f10d386cbd54bb9f4edb02"><td class="mdescLeft">&#160;</td><td class="mdescRight">File containing the support set (used by PITC/pPITC/PIC/pPIC) <br /></td></tr>
<tr class="separator:a19ce353138f10d386cbd54bb9f4edb02"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>Information parsed from commandline of application that prepares the experimental data. </p>
</div><hr/>The documentation for this struct was generated from the following file:<ul>
<li>src/<a class="el" href="pgpr__parse_8h_source.html">pgpr_parse.h</a></li>
</ul>
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